World Medical Innovation Forum: Insights on AI from healthcare leaders

WMIF Image
Ziad Obermeyer MD, Assistant Professor, Harvard Medical School during First Look session

The World Medical Innovation Forum in Boston just wrapped after three days of insights on artificial intelligence in health care. While it didn’t disappoint in respect to buzzwords as is expected in AI conferences, it was the quality of the participants and their views on AI in health care workflows that made it notable. Here are twelve quotes directly from healthcare leaders.

On AI as a capability and adding immediate value

We realized having great medical devices is not enough, we need to connect them and make them interoperable. We operate on Adaptive Intelligence rather than Artificial Intelligence. Frans Van Houten. CEO, Philips

You will need to have capability to process structured (EHR) and unstructured (genomics) data, we can say we are more advanced in AI due to our work in oncology  – aiding in virtual recruiting in clinical trials. Amy Abernethy, MD, PhD. CMO/CSO, Flatiron Health

Knowing about the range of products being developed now, in 5 to 10 years time, there will not be a single decision made in healthcare and medicine not influenced by AI. John Kelly, PhD. SVP Cognitive Solutions and Research, IBM

30-45% of each provider’s day is wasted in non-care related activities, AI can improve healthcare and reduce burnout. Peter Durlach. SVP Health Care Division, Nuance

On data generation and interoperability

We need to remove any remaining friction between insurers and providers when it comes to sharing data, we need free flow of information. Patrick Conway, MD. CEO, BCBSNC

Some doctors don’t want to be paid electronically. They are still sending paper faxes.  Roy Beveridge, MD. CMO, Humana

Pharmaceutical companies are sitting on mountains of data on clinical trials. This data is still underutilized. Jackie Hunter, PhD. CEO, Benevolent AI

On data security, privacy and consent

When thinking of AI innovation, two considerations  – medical requirements on devices as well as consumer privacy and security. Jigar Kadakia. CISO, Partners HealthCare

Facebook says we got consent from you. But then you don’t really know you signed consent. Consent needs to be clear  – in healthcare. Noga Leviner. CEO, Picnic Health

On quality and trust of all these AI algorithms 

How are we going to address quality. How is that algorithm performing and how does that impact health outcomes? Seth Hain. Director, Analytics and Machine Learning, Epic

There’s a difference between Big data and AI. Big data has informed and enabled’. What has AI done in drug development? Dr Thomas Lynch. EVP, R&D Bristol Myers Squibb

Garbage in, Garbage out. We have to de-toxify the data. Carl Kraenzel. CISO, IBM Watson Health

 

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EHR Data interoperability: Apple, Google, CMS and FHIR

Data interoperability is the flavor of the month. Everyone is working on it.

Different EHR providers mean ‘proprietary data’ and impact to revenue hence naturally system A can’t talk to system B when patient changes health plan, provider or employer benefits

Apple may be bringing disruption with its consumer play.

Apple launched its Health Records platform with over a dozen partners.

While about 40 health systems are now primed to sharing their medical records with patients through the iPhone Health Records app is impressive, what’s particularly interesting is Apple’s bet that consumers will be empowered to share this data with an ecosystem of digital health apps (developers) on their phones and providers and drive their own insights.

This is particularly a new approach with EHR portability which is usually system led rather than consumer led.

To make this all possible, the industry had to agree to one standard – Fast Healthcare Interoperability Resources (FHIR). This then serves as a connector to read and port data to/from from an EHR. Apple’s partners include top tier systems such as NYU langone Health, Stanford Medicine, The University of Chicago Medicine and John Hopkins hospital.

While Apple is pursing a B2C play, Google continues it’s domination in B2B via acquisitions.

Google’s Apigee (acquired in 2016) has apparently been working with several healthcare companies, including Walgreens, Kaiser Permanente to build links between data streams connecting existing data sets in disparate systems and finding new ways to ingest data from other sources. It’s strategy is to build an ecosystem of developers that are native to Apigee’s API.

There isn’t much data yet on adoption except in the single payer UK NHS where Deepmind (another acquisition) and Google’s AI arm has rolled out a number of limited hospital rollouts of it’s Streams app.

With use of the Apigee API, come storage requirements. Apigee sits under Google’s relatively new Cloud division so naturally it’s aim is to sell cloud services to these organizations to catchup up to Amazon’s Web Services and Microsoft Azure.

Lastly, the government has taken a stand to accelerate interoperability. Championed by White House advisor Jared Kushner, CMS debuted blue button 2.0 in March. The premise is patients should have access to their medical data wherever they go throughout their lifetime. As such it is requiring health plans to share data on Medicare participants. CMS requirements include requiring providers to update their systems to ensure data sharing, allowing patient’s data to follow them after they are discharged from a hospital and streamlined documentation and billing for providers.

As data becomes a commodity, non differentiated EHR incumbent providers such as Epic, Allscripts, Cerner will have to revisit their business models due to competitive new entrants and reduced revenue.

Facebook and the healthcare sector

Considering the launch of a Bayer campaign back in 2016 reported by Fierce Pharma, Facebook has been building teams that sell pharma ads to the health care sector. While still in the early stages, it is no secret that Google built those teams years ago to sell account management and ad targeting for big pharma and life sciences firms.

Google got clever however. It long invested in Google (Cloud), one of the fastest growing business segment in enterprise. With Amazon (Web Services) and Apple (Electronic health records rollout on its devices), Facebook is far behind the GAFA set in the health care industry. The recent Cambridge Analytics data privacy breach is a set back for the company in rollout of any new enterprise platforms (Workplace by Facebook) and patient data analytics experimentation, especially considering HIPAA privacy regulations. Workplace by Facebook reportedly has signed up over 10,000 organizations in a very short time and is possibly the medium to enter the industry. By working with healthcare providers on collaboration and predictive analytics tools, it may be the route to compete in the already crowded telemedicine market.

Time will only tell if the company can build products that expand beyond other people’s data and the advertising model.